Overview

Dataset statistics

Number of variables14
Number of observations181
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory114.7 B

Variable types

Categorical6
Text4
Numeric2
Boolean2

Dataset

Description경상남도 양산시 안심식당 지정업소를 안내합니다. 식당명 및 식당의 업태, 주메뉴, 소재지, 연락처, 영업시간, 휴무일, 수용인원, 식탁형태, 주차정보, 휠체어 출입가능 여부 등에 대한 정보를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15106089/fileData.do

Alerts

업태 is highly imbalanced (59.0%)Imbalance
공용주차장 이용 is highly imbalanced (91.2%)Imbalance
주차대수 has 25 (13.8%) zerosZeros

Reproduction

Analysis started2023-12-12 11:10:29.177459
Analysis finished2023-12-12 11:10:31.777141
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

Distinct22
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
물금읍
77 
동면
14 
북정동
12 
중부동
11 
상북면
11 
Other values (17)
56 

Length

Max length3
Median length3
Mean length2.9171271
Min length2

Unique

Unique7 ?
Unique (%)3.9%

Sample

1st row북정동
2nd row덕계동
3rd row평산동
4th row평산동
5th row평산동

Common Values

ValueCountFrequency (%)
물금읍 77
42.5%
동면 14
 
7.7%
북정동 12
 
6.6%
중부동 11
 
6.1%
상북면 11
 
6.1%
하북면 10
 
5.5%
평산동 9
 
5.0%
삼호동 7
 
3.9%
북부동 6
 
3.3%
덕계동 4
 
2.2%
Other values (12) 20
 
11.0%

Length

2023-12-12T20:10:31.873585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 77
42.5%
동면 14
 
7.7%
북정동 12
 
6.6%
중부동 11
 
6.1%
상북면 11
 
6.1%
하북면 10
 
5.5%
평산동 9
 
5.0%
삼호동 7
 
3.9%
북부동 6
 
3.3%
덕계동 4
 
2.2%
Other values (12) 20
 
11.0%

업태
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
한식
147 
일식
 
14
기타
 
11
중식
 
4
양식
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row한식
2nd row일식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 147
81.2%
일식 14
 
7.7%
기타 11
 
6.1%
중식 4
 
2.2%
양식 4
 
2.2%
카페 1
 
0.6%

Length

2023-12-12T20:10:32.044906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:10:32.214470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 147
81.2%
일식 14
 
7.7%
기타 11
 
6.1%
중식 4
 
2.2%
양식 4
 
2.2%
카페 1
 
0.6%

식당명
Text

Distinct180
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T20:10:32.555624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.2983425
Min length1

Characters and Unicode

Total characters1140
Distinct characters309
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)98.9%

Sample

1st row장어만찬
2nd row에바돈카츠 양산덕계점
3rd row달빛돈까스
4th row다오리
5th row평산대게마당
ValueCountFrequency (%)
죽이야기 4
 
1.8%
양산증산점 3
 
1.4%
고봉민김밥인 2
 
0.9%
양산덕계점 2
 
0.9%
양산점 2
 
0.9%
석산점 2
 
0.9%
진송추어탕 2
 
0.9%
양산북정점 2
 
0.9%
북정점 2
 
0.9%
도원 2
 
0.9%
Other values (198) 198
89.6%
2023-12-12T20:10:33.086143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
3.6%
산 40
 
3.5%
점 33
 
2.9%
양 26
 
2.3%
이 20
 
1.8%
밥 19
 
1.7%
탕 17
 
1.5%
국 15
 
1.3%
가 15
 
1.3%
당 13
 
1.1%
Other values (299) 901
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1060
93.0%
Space Separator 41
 
3.6%
Uppercase Letter 10
 
0.9%
Decimal Number 8
 
0.7%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%
Lowercase Letter 5
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 40
 
3.8%
점 33
 
3.1%
양 26
 
2.5%
이 20
 
1.9%
밥 19
 
1.8%
탕 17
 
1.6%
국 15
 
1.4%
가 15
 
1.4%
당 13
 
1.2%
정 13
 
1.2%
Other values (279) 849
80.1%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
9 2
25.0%
7 1
12.5%
1 1
12.5%
6 1
12.5%
0 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
50.0%
S 2
 
20.0%
O 1
 
10.0%
A 1
 
10.0%
I 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
o 1
20.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1060
93.0%
Common 65
 
5.7%
Latin 15
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 40
 
3.8%
점 33
 
3.1%
양 26
 
2.5%
이 20
 
1.9%
밥 19
 
1.8%
탕 17
 
1.6%
국 15
 
1.4%
가 15
 
1.4%
당 13
 
1.2%
정 13
 
1.2%
Other values (279) 849
80.1%
Common
ValueCountFrequency (%)
41
63.1%
( 7
 
10.8%
) 7
 
10.8%
& 2
 
3.1%
2 2
 
3.1%
9 2
 
3.1%
7 1
 
1.5%
1 1
 
1.5%
6 1
 
1.5%
0 1
 
1.5%
Latin
ValueCountFrequency (%)
C 5
33.3%
S 2
 
13.3%
e 1
 
6.7%
n 1
 
6.7%
t 1
 
6.7%
r 1
 
6.7%
o 1
 
6.7%
O 1
 
6.7%
A 1
 
6.7%
I 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1060
93.0%
ASCII 80
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
51.2%
( 7
 
8.8%
) 7
 
8.8%
C 5
 
6.2%
& 2
 
2.5%
S 2
 
2.5%
2 2
 
2.5%
9 2
 
2.5%
7 1
 
1.2%
e 1
 
1.2%
Other values (10) 10
 
12.5%
Hangul
ValueCountFrequency (%)
산 40
 
3.8%
점 33
 
3.1%
양 26
 
2.5%
이 20
 
1.9%
밥 19
 
1.8%
탕 17
 
1.6%
국 15
 
1.4%
가 15
 
1.4%
당 13
 
1.2%
정 13
 
1.2%
Other values (279) 849
80.1%

주메뉴
Text

Distinct176
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T20:10:33.449616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length19
Mean length12.458564
Min length2

Characters and Unicode

Total characters2255
Distinct characters293
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)94.5%

Sample

1st row장어구이_ 꼼장어소금구이
2nd row에바돈세트_ 생등심돈
3rd row돈까스_ 오므라이스_ 카레덮밥
4th row생오리백숙_ 오리불고기
5th row대게_ 킹크랩
ValueCountFrequency (%)
오리불고기 9
 
2.2%
삼겹살 6
 
1.5%
삼계탕 5
 
1.2%
돼지국밥 4
 
1.0%
전복죽 4
 
1.0%
김밥 3
 
0.7%
한방백숙 3
 
0.7%
보쌈 3
 
0.7%
갈비탕 3
 
0.7%
곰탕 3
 
0.7%
Other values (329) 370
89.6%
2023-12-12T20:10:33.984867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
10.3%
_ 230
 
10.2%
탕 53
 
2.4%
국 47
 
2.1%
수 42
 
1.9%
밥 42
 
1.9%
리 41
 
1.8%
기 39
 
1.7%
비 37
 
1.6%
고 33
 
1.5%
Other values (283) 1459
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1788
79.3%
Space Separator 232
 
10.3%
Connector Punctuation 230
 
10.2%
Decimal Number 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 53
 
3.0%
국 47
 
2.6%
수 42
 
2.3%
밥 42
 
2.3%
리 41
 
2.3%
기 39
 
2.2%
비 37
 
2.1%
고 33
 
1.8%
치 31
 
1.7%
이 30
 
1.7%
Other values (277) 1393
77.9%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
232
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1788
79.3%
Common 467
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 53
 
3.0%
국 47
 
2.6%
수 42
 
2.3%
밥 42
 
2.3%
리 41
 
2.3%
기 39
 
2.2%
비 37
 
2.1%
고 33
 
1.8%
치 31
 
1.7%
이 30
 
1.7%
Other values (277) 1393
77.9%
Common
ValueCountFrequency (%)
232
49.7%
_ 230
49.3%
1 2
 
0.4%
) 1
 
0.2%
( 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1788
79.3%
ASCII 467
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
49.7%
_ 230
49.3%
1 2
 
0.4%
) 1
 
0.2%
( 1
 
0.2%
9 1
 
0.2%
Hangul
ValueCountFrequency (%)
탕 53
 
3.0%
국 47
 
2.6%
수 42
 
2.3%
밥 42
 
2.3%
리 41
 
2.3%
기 39
 
2.2%
비 37
 
2.1%
고 33
 
1.8%
치 31
 
1.7%
이 30
 
1.7%
Other values (277) 1393
77.9%

소재지
Text

Distinct177
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T20:10:34.436310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length20.121547
Min length15

Characters and Unicode

Total characters3642
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)95.6%

Sample

1st row경상남도 양산시 삼성6길 1 1층
2nd row경상남도 양산시 덕계로 46
3rd row경상남도 양산시 평산남로 72
4th row경상남도 양산시 평산11길 6
5th row경상남도 양산시 신명로 10
ValueCountFrequency (%)
경상남도 181
20.8%
양산시 181
20.8%
물금읍 77
 
8.8%
동면 14
 
1.6%
상북면 10
 
1.1%
하북면 10
 
1.1%
백호2길 8
 
0.9%
12 7
 
0.8%
화합1길 7
 
0.8%
10 6
 
0.7%
Other values (250) 370
42.5%
2023-12-12T20:10:35.227504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
690
18.9%
산 199
 
5.5%
남 193
 
5.3%
상 192
 
5.3%
양 192
 
5.3%
도 184
 
5.1%
경 182
 
5.0%
시 181
 
5.0%
1 169
 
4.6%
길 109
 
3.0%
Other values (128) 1351
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2272
62.4%
Space Separator 690
 
18.9%
Decimal Number 596
 
16.4%
Dash Punctuation 41
 
1.1%
Connector Punctuation 28
 
0.8%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 199
 
8.8%
남 193
 
8.5%
상 192
 
8.5%
양 192
 
8.5%
도 184
 
8.1%
경 182
 
8.0%
시 181
 
8.0%
길 109
 
4.8%
금 91
 
4.0%
물 83
 
3.7%
Other values (110) 666
29.3%
Decimal Number
ValueCountFrequency (%)
1 169
28.4%
2 97
16.3%
3 54
 
9.1%
5 51
 
8.6%
7 48
 
8.1%
4 46
 
7.7%
0 44
 
7.4%
8 36
 
6.0%
6 28
 
4.7%
9 23
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
690
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
62.4%
Common 1368
37.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 199
 
8.8%
남 193
 
8.5%
상 192
 
8.5%
양 192
 
8.5%
도 184
 
8.1%
경 182
 
8.0%
시 181
 
8.0%
길 109
 
4.8%
금 91
 
4.0%
물 83
 
3.7%
Other values (110) 666
29.3%
Common
ValueCountFrequency (%)
690
50.4%
1 169
 
12.4%
2 97
 
7.1%
3 54
 
3.9%
5 51
 
3.7%
7 48
 
3.5%
4 46
 
3.4%
0 44
 
3.2%
- 41
 
3.0%
8 36
 
2.6%
Other values (6) 92
 
6.7%
Latin
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
62.4%
ASCII 1369
37.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
690
50.4%
1 169
 
12.3%
2 97
 
7.1%
3 54
 
3.9%
5 51
 
3.7%
7 48
 
3.5%
4 46
 
3.4%
0 44
 
3.2%
- 41
 
3.0%
8 36
 
2.6%
Other values (7) 93
 
6.8%
Hangul
ValueCountFrequency (%)
산 199
 
8.8%
남 193
 
8.5%
상 192
 
8.5%
양 192
 
8.5%
도 184
 
8.1%
경 182
 
8.0%
시 181
 
8.0%
길 109
 
4.8%
금 91
 
4.0%
물 83
 
3.7%
Other values (110) 666
29.3%
None
ValueCountFrequency (%)
· 1
100.0%

연락처
Text

Distinct179
Distinct (%)99.4%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2023-12-12T20:10:35.571659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.211111
Min length12

Characters and Unicode

Total characters2198
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)98.9%

Sample

1st row055-381-0592
2nd row055-913-0252
3rd row055-364-9727
4th row055-386-1103
5th row055-387-6689
ValueCountFrequency (%)
055-382-2479 2
 
1.1%
055-386-5223 1
 
0.6%
055-385-5295 1
 
0.6%
055-362-0205 1
 
0.6%
055-387-9595 1
 
0.6%
055-372-6655 1
 
0.6%
055-365-0022 1
 
0.6%
055-366-3109 1
 
0.6%
055-382-0999 1
 
0.6%
055-381-0027 1
 
0.6%
Other values (169) 169
93.9%
2023-12-12T20:10:36.120236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 436
19.8%
- 360
16.4%
0 311
14.1%
3 282
12.8%
8 179
8.1%
6 128
 
5.8%
7 125
 
5.7%
2 117
 
5.3%
1 98
 
4.5%
9 89
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1838
83.6%
Dash Punctuation 360
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 436
23.7%
0 311
16.9%
3 282
15.3%
8 179
9.7%
6 128
 
7.0%
7 125
 
6.8%
2 117
 
6.4%
1 98
 
5.3%
9 89
 
4.8%
4 73
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 436
19.8%
- 360
16.4%
0 311
14.1%
3 282
12.8%
8 179
8.1%
6 128
 
5.8%
7 125
 
5.7%
2 117
 
5.3%
1 98
 
4.5%
9 89
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 436
19.8%
- 360
16.4%
0 311
14.1%
3 282
12.8%
8 179
8.1%
6 128
 
5.8%
7 125
 
5.7%
2 117
 
5.3%
1 98
 
4.5%
9 89
 
4.0%

개점시간
Categorical

Distinct19
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
11:00
52 
10:00
28 
11:30
22 
09:00
22 
10:30
9 
Other values (14)
48 

Length

Max length6
Median length6
Mean length5.9779006
Min length4

Unique

Unique4 ?
Unique (%)2.2%

Sample

1st row 11:30
2nd row 11:00
3rd row 10:30
4th row 10:00
5th row 10:00

Common Values

ValueCountFrequency (%)
11:00 52
28.7%
10:00 28
15.5%
11:30 22
12.2%
09:00 22
12.2%
10:30 9
 
5.0%
16:00 8
 
4.4%
17:00 6
 
3.3%
12:00 6
 
3.3%
06:00 6
 
3.3%
08:00 6
 
3.3%
Other values (9) 16
 
8.8%

Length

2023-12-12T20:10:36.344324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:00 52
28.7%
10:00 28
15.5%
11:30 22
12.2%
09:00 22
12.2%
10:30 9
 
5.0%
16:00 8
 
4.4%
06:00 6
 
3.3%
08:00 6
 
3.3%
12:00 6
 
3.3%
17:00 6
 
3.3%
Other values (9) 16
 
8.8%

폐점시간
Categorical

Distinct15
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
21:00
52 
22:00
36 
20:00
27 
24:00
13 
20:30
13 
Other values (10)
40 

Length

Max length6
Median length6
Mean length5.9779006
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row 24:00
2nd row 21:00
3rd row 21:00
4th row 22:00
5th row 21:00

Common Values

ValueCountFrequency (%)
21:00 52
28.7%
22:00 36
19.9%
20:00 27
14.9%
24:00 13
 
7.2%
20:30 13
 
7.2%
23:00 12
 
6.6%
21:30 10
 
5.5%
19:00 4
 
2.2%
01:00 3
 
1.7%
22:30 2
 
1.1%
Other values (5) 9
 
5.0%

Length

2023-12-12T20:10:36.546079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
21:00 52
28.7%
22:00 36
19.9%
20:00 27
14.9%
24:00 13
 
7.2%
20:30 13
 
7.2%
23:00 12
 
6.6%
21:30 10
 
5.5%
19:00 4
 
2.2%
01:00 3
 
1.7%
22:30 2
 
1.1%
Other values (5) 9
 
5.0%

휴무일
Categorical

Distinct32
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
무휴
63 
일
29 
<NA>
22 
월
20 
화
 
6
Other values (27)
41 

Length

Max length16
Median length11
Mean length3.0662983
Min length1

Unique

Unique20 ?
Unique (%)11.0%

Sample

1st row넷째주 일요일
2nd row무휴
3rd row화
4th row둘째주 넷째주 월요일
5th row무휴

Common Values

ValueCountFrequency (%)
무휴 63
34.8%
일 29
16.0%
<NA> 22
 
12.2%
월 20
 
11.0%
화 6
 
3.3%
둘째주 넷째주 월요일 4
 
2.2%
1_ 3주 일 4
 
2.2%
수 4
 
2.2%
사전예약제(3일전) 3
 
1.7%
둘째주 넷째주 일요일 2
 
1.1%
Other values (22) 24
 
13.3%

Length

2023-12-12T20:10:36.752348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무휴 63
26.9%
일 37
15.8%
월 24
 
10.3%
na 22
 
9.4%
넷째주 8
 
3.4%
화 7
 
3.0%
일요일 7
 
3.0%
1 7
 
3.0%
수 6
 
2.6%
3주 6
 
2.6%
Other values (19) 47
20.1%

수용인원(명)
Real number (ℝ)

Distinct51
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.762431
Minimum5
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T20:10:36.984601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile14
Q130
median44
Q364
95-th percentile120
Maximum300
Range295
Interquartile range (IQR)34

Descriptive statistics

Standard deviation40.421858
Coefficient of variation (CV)0.75186068
Kurtosis12.530611
Mean53.762431
Median Absolute Deviation (MAD)16
Skewness2.8194315
Sum9731
Variance1633.9266
MonotonicityNot monotonic
2023-12-12T20:10:37.258034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 16
 
8.8%
60 12
 
6.6%
50 11
 
6.1%
80 10
 
5.5%
20 10
 
5.5%
30 10
 
5.5%
44 9
 
5.0%
70 7
 
3.9%
16 6
 
3.3%
36 6
 
3.3%
Other values (41) 84
46.4%
ValueCountFrequency (%)
5 2
 
1.1%
10 4
 
2.2%
11 1
 
0.6%
12 2
 
1.1%
14 3
 
1.7%
15 1
 
0.6%
16 6
3.3%
18 2
 
1.1%
20 10
5.5%
21 1
 
0.6%
ValueCountFrequency (%)
300 1
 
0.6%
280 1
 
0.6%
189 1
 
0.6%
150 4
2.2%
140 1
 
0.6%
132 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
108 2
1.1%
105 1
 
0.6%

식탁형태
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
입식
123 
좌식입식
54 
좌식
 
4

Length

Max length4
Median length2
Mean length2.5966851
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입식
2nd row입식
3rd row입식
4th row좌식입식
5th row좌식입식

Common Values

ValueCountFrequency (%)
입식 123
68.0%
좌식입식 54
29.8%
좌식 4
 
2.2%

Length

2023-12-12T20:10:37.534640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:10:37.734940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입식 123
68.0%
좌식입식 54
29.8%
좌식 4
 
2.2%

주차대수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.519337
Minimum0
Maximum500
Zeros25
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T20:10:37.932185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q320
95-th percentile100
Maximum500
Range500
Interquartile range (IQR)17

Descriptive statistics

Standard deviation71.600248
Coefficient of variation (CV)2.510586
Kurtosis24.071421
Mean28.519337
Median Absolute Deviation (MAD)6
Skewness4.6862287
Sum5162
Variance5126.5955
MonotonicityNot monotonic
2023-12-12T20:10:38.141756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 25
13.8%
10 23
12.7%
5 18
9.9%
3 18
9.9%
20 14
 
7.7%
4 12
 
6.6%
30 11
 
6.1%
15 7
 
3.9%
2 7
 
3.9%
6 5
 
2.8%
Other values (19) 41
22.7%
ValueCountFrequency (%)
0 25
13.8%
1 1
 
0.6%
2 7
 
3.9%
3 18
9.9%
4 12
6.6%
5 18
9.9%
6 5
 
2.8%
7 2
 
1.1%
8 2
 
1.1%
9 1
 
0.6%
ValueCountFrequency (%)
500 2
 
1.1%
300 4
2.2%
252 1
 
0.6%
200 1
 
0.6%
100 5
2.8%
80 1
 
0.6%
70 1
 
0.6%
50 5
2.8%
40 4
2.2%
35 2
 
1.1%

공용주차장 이용
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size313.0 B
False
179 
True
 
2
ValueCountFrequency (%)
False 179
98.9%
True 2
 
1.1%
2023-12-12T20:10:38.320024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휠체어 출입가능 여부
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size313.0 B
True
91 
False
90 
ValueCountFrequency (%)
True 91
50.3%
False 90
49.7%
2023-12-12T20:10:38.457212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T20:10:30.995104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:30.706419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:31.150429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:30.842323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:10:38.574377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동업태개점시간폐점시간휴무일수용인원(명)식탁형태주차대수공용주차장 이용휠체어 출입가능 여부
읍면동1.0000.0000.1650.6620.7120.3360.4770.0000.3880.164
업태0.0001.0000.5160.4920.4820.3660.0780.2840.0390.323
개점시간0.1650.5161.0000.5350.0000.2610.0000.5660.0000.383
폐점시간0.6620.4920.5351.0000.0300.0000.0750.5740.0000.109
휴무일0.7120.4820.0000.0301.0000.0000.0000.0000.0000.175
수용인원(명)0.3360.3660.2610.0000.0001.0000.3120.6330.0000.095
식탁형태0.4770.0780.0000.0750.0000.3121.0000.0650.0000.077
주차대수0.0000.2840.5660.5740.0000.6330.0651.0000.0000.261
공용주차장 이용0.3880.0390.0000.0000.0000.0000.0000.0001.0000.000
휠체어 출입가능 여부0.1640.3230.3830.1090.1750.0950.0770.2610.0001.000
2023-12-12T20:10:38.778711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개점시간식탁형태업태폐점시간휠체어 출입가능 여부휴무일공용주차장 이용읍면동
개점시간1.0000.0000.2220.2050.2870.0000.0000.040
식탁형태0.0001.0000.0290.0340.1280.0000.0000.268
업태0.2220.0291.0000.2610.2300.2120.0250.000
폐점시간0.2050.0340.2611.0000.0800.0000.0000.269
휠체어 출입가능 여부0.2870.1280.2300.0801.0000.1300.0000.120
휴무일0.0000.0000.2120.0000.1301.0000.0000.242
공용주차장 이용0.0000.0000.0250.0000.0000.0001.0000.289
읍면동0.0400.2680.0000.2690.1200.2420.2891.000
2023-12-12T20:10:39.492402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용인원(명)주차대수읍면동업태개점시간폐점시간휴무일식탁형태공용주차장 이용휠체어 출입가능 여부
수용인원(명)1.0000.4910.1500.2190.1170.0000.0000.2130.0000.073
주차대수0.4911.0000.0000.1040.2270.3590.1020.0920.0000.117
읍면동0.1500.0001.0000.0000.0400.2690.2420.2680.2890.120
업태0.2190.1040.0001.0000.2220.2610.2120.0290.0250.230
개점시간0.1170.2270.0400.2221.0000.2050.0000.0000.0000.287
폐점시간0.0000.3590.2690.2610.2051.0000.0000.0340.0000.080
휴무일0.0000.1020.2420.2120.0000.0001.0000.0000.0000.130
식탁형태0.2130.0920.2680.0290.0000.0340.0001.0000.0000.128
공용주차장 이용0.0000.0000.2890.0250.0000.0000.0000.0001.0000.000
휠체어 출입가능 여부0.0730.1170.1200.2300.2870.0800.1300.1280.0001.000

Missing values

2023-12-12T20:10:31.376996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:10:31.666590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

읍면동업태식당명주메뉴소재지연락처개점시간폐점시간휴무일수용인원(명)식탁형태주차대수공용주차장 이용휠체어 출입가능 여부
0북정동한식장어만찬장어구이_ 꼼장어소금구이경상남도 양산시 삼성6길 1 1층055-381-059211:3024:00넷째주 일요일40입식20NN
1덕계동일식에바돈카츠 양산덕계점에바돈세트_ 생등심돈경상남도 양산시 덕계로 46055-913-025211:0021:00무휴26입식0YY
2평산동한식달빛돈까스돈까스_ 오므라이스_ 카레덮밥경상남도 양산시 평산남로 72055-364-972710:3021:00화26입식10NN
3평산동한식다오리생오리백숙_ 오리불고기경상남도 양산시 평산11길 6055-386-110310:0022:00둘째주 넷째주 월요일80좌식입식5NN
4평산동한식평산대게마당대게_ 킹크랩경상남도 양산시 신명로 10055-387-668910:0021:00무휴108좌식입식10NN
5평산동한식샤브향한우버섯샤브경상남도 양산시 덕계로 144055-365-103210:0021:00무휴104좌식입식12NN
6소주동한식꽃마실알탕_땡초부침개_제육볶음경상남도 양산시 소주회야로 45-40<NA>17:0024:00일20입식10NY
7소주동한식뒷골생오리오리불고기_ 오리백숙경상남도 양산시 소주회야1길 5-60055-365-528811:0021:00월40입식3NN
8소주동일식온정카츠등심까스_ 안심까스_ 치즈까스경상남도 양산시 소주회야1길 5-18055-388-022611:3021:00금30입식0NN
9소주동한식연꽃나비돼지고기수육정식_ 불향오징어낙지정식경상남도 양산시 백동길 1480507-1483-108011:0020:00월40입식30NN
읍면동업태식당명주메뉴소재지연락처개점시간폐점시간휴무일수용인원(명)식탁형태주차대수공용주차장 이용휠체어 출입가능 여부
171물금읍한식초우한우한우국밥_ 한우생갈비살_ 한우육회경상남도 양산시 물금읍 백호2길 27-6055-383-385810:0021:00무휴30좌식입식0NN
172상북면한식청호재삼장수밥상_ 청호재밥상경상남도 양산시 상북면 수서로 567-211055-374-8841<NA><NA>사전예약제(3일전)20입식10NN
173물금읍한식참한우곰탕왕갈비탕_ 한우진곰탕_ 한우도가니탕경상남도 양산시 물금읍 범어2길 19055-382-388011:0021:00<NA>50좌식입식10NN
174동면한식호호감자탕감자탕경상남도 양산시 동면 양산대로 482055-384-006612:0024:00일 야간80입식15NY
175동면한식종정헌보리굴비정식경상남도 양산시 동면 석산3길 12055-366-337311:0021:00월150좌식입식30NN
176호계동한식온기담은밥상온기한정식경상남도 양산시 호계길 29055-362-7448<NA><NA>사전예약제(3일전)45입식20NN
177북정동한식언덕집 북정점자연산추어탕경상남도 양산시 중앙로 2780507-1314-627111:0021:00무휴132좌식입식20NY
178물금읍한식아름빌해신탕_ 오리불고기_ 닭오리백숙경상남도 양산시 물금읍 가촌서로 17-20055-382-191910:0022:00월70좌식입식20NN
179용당동한식솔향기연잎오리백숙_ 연잎밥정식_ 자연산민물매운탕경상남도 양산시 탑골길 184-8055-372-447311:3020:00사전예약제(3일전)20좌식5NN
180하북면한식산들바람자연식한방백숙_ 연잎밥정식_ 특선일품정식경상남도 양산시 하북면 신평강변로 82055-912-222211:3020:00화60좌식5NN